Russell Tsuchida

32 papers A* 9A 4B 1Misc 1Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems. ICLR Daniel MacKinlay, Russell Tsuchida, Daniel Edward Pagendam, Petra Kuhnert
2025	J	`jnl`	Generalization Certificates for Adversarially Robust Bayesian Linear Regression. CoRR Mahalakshmi Sabanayagam, Russell Tsuchida, Cheng Soon Ong, Debarghya Ghoshdastidar
2025	A	`conf`	Label Distribution Learning using the Squared Neural Family on the Probability Simplex. UAI Daokun Zhang, Russell Tsuchida, Dino Sejdinovic
2025	A*	`conf`	Open Set Label Shift with Test Time Out-of-Distribution Reference. CVPR Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes
2025	J	`jnl`	Open Set Label Shift with Test Time Out-of-Distribution Reference. CoRR Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes
2025	Misc	`conf`	ROSELLA: An Open Computer Vision and Measurement Toolkit for Advanced Manufacturing. DICTA Chuong Nguyen, Fahira Afzal Maken, Changming Sun, Yulia Arzhaeva, Sundaram Muthu, Michael Salim, Lars Andersson, Brett Downing, Jinguang Tong, Russell Tsuchida, Shayan Azizi, Lachlan Hetherton, Matt Bolger, Shaun Howard, Lars Petersson, Simon Dunstall
2025	J	`jnl`	Squared families: Searching beyond regular probability models. CoRR Russell Tsuchida, Jiawei Liu, Cheng Soon Ong, Dino Sejdinovic
2024	A*	`conf`	Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families. AAAI Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic
2024	J	`jnl`	Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families. CoRR Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic
2024	J	`jnl`	Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems. CoRR Daniel MacKinlay, Russell Tsuchida, Daniel Edward Pagendam, Petra Kuhnert
2024	J	`jnl`	Label Distribution Learning using the Squared Neural Family on the Probability Simplex. CoRR Daokun Zhang, Russell Tsuchida, Dino Sejdinovic
2024	A	`conf`	Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach. WACV Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes
2023	A	`conf`	Deep equilibrium models as estimators for continuous latent variables. AISTATS Russell Tsuchida, Cheng Soon Ong
2023	J	`jnl`	Earth Movers in The Big Data Era: A Review of Optimal Transport in Machine Learning. CoRR Abdelwahed Khamis, Russell Tsuchida, Mohamed Tarek, Vivien Rolland, Lars Petersson
2023	A*	`conf`	Squared Neural Families: A New Class of Tractable Density Models. NeurIPS Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic
2023	J	`jnl`	Squared Neural Families: A New Class of Tractable Density Models. CoRR Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic
2023	J	`jnl`	Stochastic gradient updates yield deep equilibrium kernels. Trans. Mach. Learn. Res. Russell Tsuchida, Cheng Soon Ong
2022	A*	`conf`	Declarative nets that are equilibrium models. ICLR Russell Tsuchida, Suk Yee Yong, Mohammad Ali Armin, Lars Petersson, Cheng Soon Ong
2022	J	`jnl`	Deep equilibrium models as estimators for continuous latent variables. CoRR Russell Tsuchida, Cheng Soon Ong
2022	B	`conf`	Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. ICPR Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida
2022	J	`jnl`	Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. CoRR Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida
2022	A*	`conf`	Gaussian Process Bandits with Aggregated Feedback. AAAI Mengyan Zhang, Russell Tsuchida, Cheng Soon Ong
2021	A*	`conf`	Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. AAAI Russell Tsuchida, Tim Pearce, Christopher van der Heide, Fred Roosta, Marcus Gallagher
2021	J	`jnl`	Gaussian Process Bandits with Aggregated Feedback. CoRR Mengyan Zhang, Russell Tsuchida, Cheng Soon Ong
2020	J	`jnl`	Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. CoRR Russell Tsuchida, Tim Pearce, Christopher van der Heide, Fred Roosta, Marcus Gallagher
2020	—	`—`	Results on infinitely wide multi-layer perceptrons Russell Tsuchida
2019	A*	`conf`	Exchangeability and Kernel Invariance in Trained MLPs. IJCAI Russell Tsuchida, Fred (Farbod) Roosta, Marcus Gallagher
2019	A	`conf`	Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions. UAI Tim Pearce, Russell Tsuchida, Mohamed Zaki, Alexandra Brintrup, Andy Neely
2019	J	`jnl`	Richer priors for infinitely wide multi-layer perceptrons. CoRR Russell Tsuchida, Fred Roosta, Marcus Gallagher
2018	J	`jnl`	Exchangeability and Kernel Invariance in Trained MLPs. CoRR Russell Tsuchida, Fred (Farbod) Roosta, Marcus Gallagher
2018	A*	`conf`	Invariance of Weight Distributions in Rectified MLPs. ICML Russell Tsuchida, Farbod Roosta-Khorasani, Marcus Gallagher
2017	J	`jnl`	Invariance of Weight Distributions in Rectified MLPs. CoRR Russell Tsuchida, Farbod Roosta-Khorasani, Marcus Gallagher